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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"resnet-101 not found","articleBody":"Ubuntu 16.04 DLC= 2.0.4.1 with virtualenv python3\r\n\r\nHi guys! After using the pretrained MPII model I wanted to use the ImageNet pretrained resnet 101 again. After downloading them via `download.sh` and declaring 101 in `config.yaml` I got following error when running `deeplabcut.create_new_dataset(config)`:\r\n\r\n```\r\nIn [20]: deeplabcut.create_training_dataset(config)\r\n---------------------------------------------------------------------------\r\nFileNotFoundError                         Traceback (most recent call last)\r\n\u003cipython-input-20-ade4483e7b7f\u003e in \u003cmodule\u003e()\r\n----\u003e 1 deeplabcut.create_training_dataset(config)\r\n\r\n/home/sebo/DLC/lib/python3.6/site-packages/deeplabcut/generate_training_dataset/trainingsetmanipulation.py in create_training_dataset(config, num_shuffles, Shuffles, windows2linux)\r\n   1012         \"\"\"\r\n   1013         start = os.getcwd()\r\n-\u003e 1014         os.chdir(str(Path(resnet_path).parents[0]))\r\n   1015         print(\"Downloading the pretrained model (ResNets)....\")\r\n   1016         subprocess.call(\"download.sh\", shell=True)\r\n\r\nFileNotFoundError: [Errno 2] No such file or directory: '/home/sebo/DLC/lib/python3.6/site-packages/deeplabcut/Pose_Estimation_Tensorflow/models/pretrained'\r\n```\r\n\r\nI checked `trainingsetmanipulation.py` and `Pose_Estimation_Tensorflow` needs to be written in lowercase letters in line [1004](https://github.com/AlexEMG/DeepLabCut/blob/0197cf53abadedb2a2a37496bc2486fe723ccc23/deeplabcut/generate_training_dataset/trainingsetmanipulation.py#L1004). After reinstalling deeplabcut, it found and loaded resnet-101 :)\r\n","author":{"url":"https://github.com/sebo361","@type":"Person","name":"sebo361"},"datePublished":"2019-02-04T19:07:07.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/201/DeepLabCut/issues/201"}